Scheduling and supervisory control for cost effective load shaping of microgrids with flexible demands. (February 2019)

• Record Type: Journal Article
• Authors: Zachar, Michael; Daoutidis, Prodromos
• Is Part Of: Journal of process control. Volume 74(2019)
• Page Start: 202
• Page End: 214
• Publication Date: 2019-02
• Subjects: Microgrid -- Renewable power -- Power management -- Stochastic optimization -- Distributed generation -- Building thermal control; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2017.06.004
• Languages: English
• ISSNs: 0959-1524

Abstract

Highlights: Formulated a scheduling and supervisory control framework for grid-tied microgrids. Specifically targeted mitigating uncertainty and variability introduced by renewables. Integration of microgrid and flexible cooling load enables load shaping at low cost. A case study is done using a dynamic microgrid and office building model in Simulink. Abstract: This paper explores the supervisory control of a microgrid with a flexible cooling system in order to meet load shaping constraints in an economical manner. This load shaping explicitly limits the uncertainty and variability imposed on utility companies by distributed generation. A hierarchical approach is formulated for the integrated operation of the microgrid's controllable loads and dispatchable generation/storage units. Stochastic optimization is used at the hourly time scale to coordinate external energy exchange and determine target profiles for the storage level and building temperature. Deterministic optimization is used at the minute time scale to reject disturbances, determine setpoint trajectories for each unit, and ensure the system is on track to meet long-term goals. The proposed approach is shown to effectively coordinate the decision making at these two different time scales to result in satisfactory closed-loop performance. Moreover, a case study demonstrates that load shaping can be achieved at the microgrid scale at only a small opportunity cost.